Program highlights

• Kulicke & Soffa recently had to deal with the obsolescence of some of the cameras in its machine. Since all its vision solutions have a modular design, changing a camera will affect all other products. The challenge was to implement a new camera that meets current and future requirements, but still supports existing machines. Jeff Horijon will take you through the whole design process.
• How can you see the ripeness of a tomato? Cosine solved this challenge with next-generation vision systems that use advanced sensors based on multi- and hyperspectral imaging, narrow bands and more exotic wavelength ranges, and providing higher accuracy.
• To understand which factors play a role in determining the quality of fresh products, an enormous amount of data needs to be collected. In order to make this process more efficient and reusable, Wageningen UR has developed a color cabinet that allows for standardised measurements of fresh products.
• Agri-food sorting and harvesting machines can benefit tremendously from artificial intelligence. Easics will present a smart camera that provides real-time segmented data: what do I see where. The solution takes AI out of the cloud and into to the sensors.

For questions on the conference program, please contact Alexander Pil at alexander@techwatch.nl.